My work in data architecture covers the design of structured data systems for software platforms, archives, publications, and long-term information assets.
Data Modeling
Data modeling covers entities, relationships, and structural constraints across complex information domains. Structures are designed to remain stable as software, interfaces, and storage technologies evolve.
Data Transformation and Processing
Transformation layers manage how information moves between systems and formats — normalization, derivation, and compatibility handled across evolving data pipelines.
Architecture Strategy
Volatile and long-lived data are addressed differently within the same system — stable foundations established for core records, surrounding systems designed to accommodate change and growth without compromising underlying data integrity.